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A Probabilistic Model for Cell Population Phenotyping Using HCS Data

Figure 1

HCS data acquisition and processing.

After experimental acquisition, we have four images, or fields, per well. Step 1 consists of isolating each cell in each image and computing cell features by means of image processing tools. These features are used to classify cells in each image according to different predefined cell phenotypes in a second step (for example M, G2 phases or apoptosis). This classification provides population descriptors that can be used to define population phenotypic classes.

Figure 1

doi: https://doi.org/10.1371/journal.pone.0042715.g001